Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures

A large-scale validated database for Persian speech emotion detection.

In this work is proposed a speech emotion recognition model based on the extraction of four different features got from RAVDESS sound files and stacking the resulting matrices in a one-dimensional array by taking the mean values along the time axis. Then this array is fed into a 1-D CNN model as input.

Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.

Repository for PhD activity (dissertation S3) with focus on speech emotion recognition, JAIST 2017~2021

Speech emotion recognition web app (In progress..)

Hello guys, welcome to my Data Science Portfolio. I include some knowledges I earn in my journey. I included some case study, papers, and code. Please check the readme.

Deep Learning for Speech Emotion Recognition - Dive into the world of emotional resonance with our cutting-edge CNN-based Speech Emotion Recognition model, achieving an impressive 94% accuracy.